Background: Immune checkpoint inhibitors (ICIs) are standard treatments for advanced solid cancers. Resistance to ICIs, both primary and secondary, poses challenges, with early mortality (EM) within 30-90 days indicating a lack of benefit. Prognostic factors for EM, including the lung immune prognostic index (LIPI), remain underexplored. Methods: We performed a retrospective, observational study including patients affected by advanced solid tumors, treated with ICI as single agent or combined with other agents. Logistic regression models identified factors associated with EM and 90-day progression risks. A nomogram for predicting 90-day mortality was built and validated within an external cohort. Results: In total, 637 patients received ICIs (single agent or in combination with other drugs) for advanced solid tumors. Most patients were male (61.9%), with NSCLC as the prevalent tumor (61.8%). Within the cohort, 21.3% died within 90 days, 8.4% died within 30 days, and 34.5% experienced early progression. Factors independently associated with 90-day mortality included ECOG PS 2 and a high/intermediate LIPI score. For 30-day mortality, lung metastasis and a high/intermediate LIPI score were independent risk factors. Regarding early progression, high/intermediate LIPI score was independently associated. A predictive nomogram for 90-day mortality combining LIPI and ECOG PS achieved an AUC of 0.76 (95% CI 0.71-0.81). The discrimination ability of the nomogram was confirmed in the external validation cohort (n = 255) (AUC 0.72, 95% CI 0.64-0.80). Conclusion: LIPI and ECOG PS independently were able to estimate 90-day mortality, with LIPI also demonstrating prognostic validity for 30-day mortality and early progression.
Development and validation of a new tool to estimate early mortality in patients with advanced cancer treated with immunotherapy / De Giglio, Andrea; Leonetti, Alessandro; Comito, Francesca; Filippini, Daria Maria; Mollica, Veronica; Rihawi, Karim; Peroni, Marianna; Mazzaschi, Giulia; Ricciotti, Ilaria; Carosi, Francesca; Marchetti, Andrea; Rosellini, Matteo; Gagliano, Ambrogio; Favorito, Valentina; Nobili, Elisabetta; Gelsomino, Francesco; Melotti, Barbara; Marchese, Paola Valeria; Sperandi, Francesca; Di Federico, Alessandro; Buti, Sebastiano; Perrone, Fabiana; Massari, Francesco; Pantaleo, Maria Abbondanza; Tiseo, Marcello; Ardizzoni, Andrea. - In: CANCER IMMUNOLOGY, IMMUNOTHERAPY. - ISSN 1432-0851. - 73:12(2024). [10.1007/s00262-024-03836-w]
Development and validation of a new tool to estimate early mortality in patients with advanced cancer treated with immunotherapy
Leonetti, Alessandro;Peroni, Marianna;Mazzaschi, Giulia;Di Federico, Alessandro;Buti, Sebastiano;Tiseo, Marcello;
2024-01-01
Abstract
Background: Immune checkpoint inhibitors (ICIs) are standard treatments for advanced solid cancers. Resistance to ICIs, both primary and secondary, poses challenges, with early mortality (EM) within 30-90 days indicating a lack of benefit. Prognostic factors for EM, including the lung immune prognostic index (LIPI), remain underexplored. Methods: We performed a retrospective, observational study including patients affected by advanced solid tumors, treated with ICI as single agent or combined with other agents. Logistic regression models identified factors associated with EM and 90-day progression risks. A nomogram for predicting 90-day mortality was built and validated within an external cohort. Results: In total, 637 patients received ICIs (single agent or in combination with other drugs) for advanced solid tumors. Most patients were male (61.9%), with NSCLC as the prevalent tumor (61.8%). Within the cohort, 21.3% died within 90 days, 8.4% died within 30 days, and 34.5% experienced early progression. Factors independently associated with 90-day mortality included ECOG PS 2 and a high/intermediate LIPI score. For 30-day mortality, lung metastasis and a high/intermediate LIPI score were independent risk factors. Regarding early progression, high/intermediate LIPI score was independently associated. A predictive nomogram for 90-day mortality combining LIPI and ECOG PS achieved an AUC of 0.76 (95% CI 0.71-0.81). The discrimination ability of the nomogram was confirmed in the external validation cohort (n = 255) (AUC 0.72, 95% CI 0.64-0.80). Conclusion: LIPI and ECOG PS independently were able to estimate 90-day mortality, with LIPI also demonstrating prognostic validity for 30-day mortality and early progression.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.